Journals / Uludağ Üniversitesi Tıp Fakültesi Dergisi / 2026 / Cilt: 52

Reply to Letter to Editor for “Diagnostic Performance of Multimodal Large Language Models in Assigning Bone-RADS Categories on CT”

Hasan Emin Kaya(Bursa Uludağ University, School of Medicine, Department of Radiology, Bursa, Türkiye.)0000-0002-7411-4102
Abdullah Enes Ataş(Necmettin Erbakan University, Meram School of Medicine, Department of Radiology, Konya, Türkiye.)0000-0001-6623-3024
Pages
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Publication Date
2026-10-06
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In this reply, we aim to address the questions and comments she has raised.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Sağlam for his letter regarding our article.
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Key Findings & Data:Sağlam for his letter regarding our article.
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Conclusion & Impact:In this reply, we aim to address the questions and comments she has raised.
🔬Design:Editöre Mektup
📍Scope:Comprehensive Sample
⚙️Variables:LLM · Bone-RADS · LLM

Abstract

We thank Dr. Sağlam for his letter regarding our article. In this reply, we aim to address the questions and comments she has raised.

Özet

Dr. Sağlam'a yazımızla ilgili mektubu için teşekkür ederiz. Biz de mektubumuzda sorularına cevap vermeye çalışacağız.

Keywords
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Cite This Article

Kaya, H. E., Ataş, A. E., *, H. E. K. (2026). Reply to Letter to Editor for “Diagnostic Performance of Multimodal Large Language Models in Assigning Bone-RADS Categories on CT”. Uludağ Üniversitesi Tıp Fakültesi Dergisi, Cilt: 52. https://doi.org/10.32708/uutfd.2001679

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References (1)

  1. Xing Y, Ding D, Dai S, et al. Bone reporting and data system on CT (Bone-RADS-CT): a validation study by four readers on 328 cases from three local and two public databases. Insights into Imaging 2025;16(1):174